Source attribution of PM2.5 for Korea during the KORUS-AQ campaign using GEOS-Chem adjoint model
GEOS-Chem 수반 모델을 이용한 KORUS-AQ 캠페인 기간 한국 초미세먼지의 배출원 분석

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자연과학대학 지구환경과학부
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서울대학교 대학원
Source ContributionPM2.5KORUS-AQChemical Transport ModelAdjoint ModelingSensitivity Analysis
학위논문 (석사)-- 서울대학교 대학원 : 자연과학대학 지구환경과학부, 2018. 2. 박록진.
An intercontinental cooperative air quality field study in Korea, KORUS-AQ was held in 2016, where extensive observations of PM2.5 concentrations and its precursors were conducted. In this study, I investigated source contributions to PM2.5 in Korea under various meteorological conditions during the KORUS-AQ campaign using the GEOS-Chem 3-D chemical transport model and its adjoint. First, I updated the model with the latest regional emission inventory, KORUS ver. 1.0, diurnally varying NH3 emissions, a new photolysis of particulate nitrate, and secondary organic aerosol formation from oxidations of aromatic species. I evaluated the updated model against daily average PM2.5 and its chemical constituents measured at six ground sites (Bangnyung, Bulkwang, Olympic park, Gwangju, Ulsan, and Jeju). The updates improved the performance in simulating nitrate and organic aerosols, which had been overestimated and underestimated, respectively. The NMB for nitrate decreased from 237 % to 16 % and the NMB for organic aerosols increased from -64 % to -48 %. In general, the model reproduced the observed PM2.5 showing correlation coefficient of 0.62 and the NMB of -23 %. Next, I conducted an adjoint sensitivity analysis for surface PM2.5 at five ground sites (except for Bangnyung because of its small population) under four different meteorological conditions: dynamic weather, stagnancy, extreme transport and pollution, and blocking pattern. Regional contributions varied greatly with synoptic meteorological conditions. Chinese contribution accounted for almost 72 % of PM2.5 in Korea during the efficient transport and pollution period of the campaign, whereas the blocking pattern period showed much enhanced contribution from domestic sources (52 %). Last, I examined which emission source would be most effective in reducing the averaged population exposure to PM2.5. Reduction of anthropogenic NH3 emissions from Korea were estimated to be most effective in improving PM2.5 air quality in Korea (effectiveness = 16 %). Next efficient targets for reduction were anthropogenic SO2 emissions from Shandong region (effectiveness = 10 %), followed by anthropogenic NH3 emissions from Shandong region (effectiveness = 9 %) and anthropogenic SO2 emissions from Shanghai region (effectiveness = 9 %). Reduction of anthropogenic OC and NOx emissions from Korea also showed a high chance to improve PM2.5 air quality in Korea (effectiveness = 6% and 6%, respectively).
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College of Natural Sciences (자연과학대학)Dept. of Earth and Environmental Sciences (지구환경과학부)Theses (Master's Degree_지구환경과학부)
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